Senior API & AI Solutions Engineer

Socket.dev; New York (NY); On-site; USD 170,000 - 230,000; Full time

Job summary

Kong Inc. is seeking a Staff Solutions Engineer to act as a trusted technical advisor across Fortune 500 and enterprise customers, focused on API management and AI connectivity.

You’ll guide architectural discussions, validate technical feasibility, and lead multi-stakeholder engagements. You will mentor junior SEs, deliver technical workshops, and influence product direction through customer feedback and market signals.

Qualifications

• 7+ years of software engineering or solutions engineering experience in SaaS, open source, or enterprise software.
• Proven track record owning complex enterprise deals with multiple stakeholders.
• Experience mentoring or coaching other SEs or technical team members.
• Hands-on experience with Docker, Kubernetes, and cloud-native platforms.

Responsibilities

• Support field sales in helping customers understand the value of the Kong API and AI connectivity platform.
• Conduct discovery conversations to map customer requirements to Kong solutions.
• Support POCs throughout the evaluation process, owning technical validation and stakeholder alignment.
• Ensure customer satisfaction across assigned accounts and collaborate with support, product, and engineering teams.
• Create technical documentation for DevOps, implementations, and services engagements.
• Lead API Management and AI Governance evaluations, including use case scoping and governance requirements.

Skills

Docker

Kubernetes

REST APIs

GraphQL APIs

CI/CD pipelines

API security patterns

AI-assisted development tooling

MCP

Cloud computing

Job description

Kong Inc. is seeking a Staff Solutions Engineer to act as a trusted technical advisor across Fortune 500 and enterprise customers, focused on API management and AI connectivity.

You’ll guide architectural discussions, validate technical feasibility, and lead multi-stakeholder engagements. You will mentor junior SEs, deliver technical workshops, and influence product direction through customer feedback and market signals.